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New Datasets on Artificial Intelligence for Weed Identification

Rémi Régnier, Virginie Barbosa, Sabrina Lecadre, Agnès Delaborde, Anne Kalouguine, Daniel Caon, Olivier Galibert, Guillaume Bernard

发表年份
2024
引用次数
1

摘要

This paper presents the data sets acquired in the context of the ROSE agricultural robotics challenge. This database represents crop plants (maize and bean) associated with different types of weeds in outdoor field conditions with important agropedoclimatic disparities depending on the years of acquisition and the sensor architectures used to build them. These databases have been designed to support the development of agricultural robotics, with a focus on intra-row weeding.

关键词

Identification (biology)Computer scienceArtificial intelligenceWeedMachine learningBiologyAgronomyEcology

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